期刊
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
卷 26, 期 1, 页码 139-153出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSVT.2015.2444671
关键词
rho-domain; bit allocation; discrete cosine transform distribution; High Efficiency Video Coding (HEVC); quality dependency; rate control
资金
- National Natural Science Foundation of China [61272289, 61201211]
- City University of Hong Kong Applied Research Grant [9667094]
- City University of Hong Kong Shenzhen Research Institute, Shenzhen, China
- Strategic Emerging Industry Development Special Fund of Shenzhen Project [JCYJ20130326105637578]
A frame-level bit allocation optimization method is proposed to improve the rate-distortion performance for High Efficiency Video Coding. First, to avoid the demerits of the mixture Laplacian distribution model on complexity, a new synthesized Laplacian distribution (SynLD) model is proposed to describe the discrete cosine transform transformed coefficients based on Kullback-Leibler-divergence analysis. Second, quality dependencies among frames are investigated, and a linear relationship between quality dependency factor (QDF) and skip-mode percentage is proposed for QDF prediction. Based on the proposed SynLD model and QDF prediction method, a rho-domain-based frame-level bit allocation method is proposed. Experimental results show that when compared with the state-of-the-art pixel-based unified rate-quantization (URQ) model and R-lambda-model-based algorithms, 1.75- and 0.16-dB BD-peak signal-to-noise ratio (PSNR) gains can be achieved by the proposed bit allocation method, respectively. For quality consistency, the average PSNR standard deviation shows 0.16 and 0.02 dB lower than URQ and R-lambda-model-based algorithms, respectively. The proposed method also has a much more stable buffer control status and works well for scene change cases.
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